More than ever before, enterprises are under pressure to protect private data.
Part of the pressure comes from the chilling examples of companies who failed to protect private data and then paid a high price in regulatory fines, disaffected customers, lost business, and damaged brands.
Part of the pressure comes from knowing just how frequently data breaches occur. In a recent survey of email decision makers at large U.S. companies, 34% reported that their business had been affected by the leak of sensitive or embarrassing information in the past year, 33% had been affected by the improper exposure or theft of customer information, and 28% had been affected by the improper exposure or theft of intellectual property. Thefts are common. Leaks are common. Enterprises, even cautious ones, are plainly at risk.
Proofpoint Encryption can help keep private data in email secure.

The very best anti-spam solutions today deliver 95% effectiveness. Unfortunately, that's not good enough. A border-line attack that gets through a 5% gap in defenses could cost your organization millions of dollars in terms of business lost, exposure to privacy threats, and brand loyalty.
This white paper discusses the ongoing evolution of spam threats and the technology needed to close that remaining 5% gap in defenses. To defeat spam, enterprises need a holistic approach rather than an uncoordinated collection of features and filters. By systematically tying features together through real-time machine learning and analysis, enterprises can increase the effectiveness of their spam defenses to nearly 100%.

Payments is an increasingly strategic area of focus for enterprises, impacting market expansion, customer experience, business model evolution and, ultimately, revenue growth. As the role of payments in business strategy continues to expand, enterprises need secure, reliable and scalable infrastructure to underpin their transaction acceptance and processing capabilities.
Stripe commissioned 451 Research to understand how large enterprise-scale merchants are thinking through their online payments infrastructure requirements. 451 Research surveyed 800 merchants across 8 countries, including a mix of business decision-makers from payments to finance to IT.
KEY FINDINGS
• 87% of mid- and large-sized businesses surveyed use the cloud as their dominant payments environment.
• Nearly two-thirds of respondents using the public cloud for payments have seen improvements in security, innovation and uptime, while nearly three in five cited improved scalability.
• Respondents using public-cloud-

Payments are essential to the success of marketplaces and platforms that connect buyers to sellers, where transactions are a critical component of customers’ satisfaction. Sellers seek fast and flexible payouts, while both sellers and buyers look for an integrated and seamless experience. With the increasing complexity of multi-party transactions on platforms, these expectations are difficult to meet.
Stripe commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Stripe Connect, an offering that allows marketplaces and platforms to accept payments from and send payouts to third parties.
Forrester’s interviews with four existing Stripe clients and subsequent financial analysis found that an organization based on these interviewed organizations experienced benefits of $6.1 million over three years versus costs of $1.3 million, adding up to a net present value (NPV) of $4.

Banking is rapidly being transformed by one, distinct theme: digital technology.
For those leading the charge, there is no longer a distinction between a business strategy and a technology strategy. There is just strategy driven by technology and the client needs it will evolve to continually meet. In this new world, upgrading existing operations and making legacy systems fit new challenges is not going to be enough. To succeed, banks need to become future-ready, connected enterprises, backed by a new type of technology and operating model that is nimble enough to adapt to new challenges and growth opportunities.

As businesses are driven to digital transformation by changing market forces and customer expectations, many are looking to new technologies, including new infrastructure environments, as enablers. As a result, we are seeing a near-universal appetite for hybrid outcomes as business functions are executed across multiple on-premises and external infrastructure environments in pursuit of agility, cost, performance and other business benefits. Hybrid IT has become a key strategic imperative for a large portion of enterprises, impacting their IT objectives and expectations, and likely leading to new engagements with service provides for help designing, building and operating hybrid environments.

Read the Gigamon paper, “Harnessing the Power of Metadata for Security,” to see why metadata is the new security super power. Metadata is data about data. It is a summary or high-level view of data. Providing security tools with a summary of the packet data traversing networks, metadata becomes a powerful weapon for enterprises looking to separate signals from noise, reduce time to threat detection and improve overall security efficacy. Read now.

Network operations teams can no longer ignore the application layer. Application experience can make or
break a digital enterprise, and today most enterprises are digital. To deliver optimal performance, network
operations tools must be application-aware. However, application-awareness in the network and security tool
layer is expensive and difficult to scale. Enterprises can mitigate these challenges with a network visibility
architecture that includes application-aware network packet brokers (NPBs).
EMA recommends that today’s network operations teams modernize their approach with full application
visibility. EMA research has found that network teams are increasingly focused on directly addressing security
risk reduction, service quality, end-user experience, and application performance. All of these new network
operations benchmarks will require deeper application-level visibility. For instance, a network team focused
on service quality will want to take a top-down approach to perfo

Much has already been said and written about the infiltration of robotic process automation (RPA) and intelligent automation (IA) technologies into the workforce. In truth, it’s taken the corporate world a while to test, trust and commit to automation at work.
To understand how far APAC/ANZ markets have advanced towards acting on these opportunities, the Shared Services and Outsourcing Network (SSON) surveyed the market and found that across the region corporations were forward thinking in building for scale, trusting technology and recognising the need to incorporate robotics into both IT infrastructure and enterprise strategy.
This report explains how enterprises across APAC/ANZ are staying ahead of the global wave of RPA, the most popular solutions they are choosing, who the preferred consultants or 'integrators' are, the challenges, and how the digital workforce is being integrated into the human one.

Enterprises preparing for a digital future have much to consider when they modernise their network infrastructure and have to contend with connectivity demands from their business units, staff, and customers. In this e-book, leaders from different parts of our business provide their perspectives on how to approach digital transformation. In our experience at Dimension Data, now part of NTT Ltd., you can’t look at any one piece of the infrastructure puzzle without looking at all of it. And it’s the network that holds all those pieces together.

Think back just 5 years ago. In 2014…
• The seminal DevOps book—Gene Kim’s The Phoenix Project—was one year old
• Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161
• "Continuous Testing” just started appearing in industry publications and conferences2
• Many of today’s popular test frameworks were brand new—or not yet released
• The term “microservices” was just entering our lexicon
• QC/UFT and ALM were still sold by HP (not even HPE yet)
• Only 30% of enterprise software testing was performed fully “in house”3
• There was no GDPR restricting the use of production data for software testing
• Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like
SAP S/4HANA and Salesforce Lightning hadn’t even been announced
Times have changed—a lot. If the way that you’re testing hasn’t already transformed dramatically, it will soon.
And the pace and scope of disruption will continue to escalate throughout the fo

"The state of chatbots has quickly evolved from a fad to an essential part of corporate strategy. No longer a nascent technology, chatbots have matured into solutions that enterprises across industries are taking seriously. But how do we distinguish a simple chatbot from human-like, AI- driven conversational solutions that we now see businesses adopting?
In this three part series, we will examine what it means to deploy “Conversational A.I.” for the enterprise"

To become more effective, enterprises must fast-track projects to digitally connect their organizations. Building value and providing compelling customer experiences at lower cost requires more than a quick technology fix; it demands a business and technological commitment to a new target operating model (TOM). This operating model should offer a way of running the organization that combines digital technologies and operational capabilities to achieve improvements in revenue, customer experience and cost. Enabling digital capabilities via the TOM is an ongoing process that requires DevOps skills and agile development techniques. This is easier to achieve with partners that have the requisite capabilities to help with the creation of new digital assets

This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t

Welcome to Secure Hybrid Cloud For Dummies, IBM Limited Edition. The hybrid cloud is becoming the way enterprises are transforming their organizations to meet changing customer requirements. Businesses are discovering that in order to support the needs of customers, there is an imperative to leverage the highly secure IBM Z platform to support missioncritical workloads, such as transaction management applications. The Z platform has been transformed over the years. The combination of z/OS, LinuxONE, open APIs, and the inclusion of Kubernetes has made IBM Z a critical partner in the hybrid cloud world. Businesses can transform their IBM Z environments into a secure, private cloud. In addition, through IBM’s public cloud, businesses may take advantage of IBM Z’s security services to protect their data and applications.

This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t

iAdvize commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study to examine the potential ROI enterprises may realize by deploying a conversational CX throughout their customer journey.
Read this study to learn how to evaluate the potential financial impact of a conversational CX on your organization through the quality and scalability of the conversations you can achieve.

By 2020, there will be 50 billion devices producing 600Zb of data, driving enterprises to assess their IT infrastructures to keep pace with unprecedented data processing demands. Is your business ready to handle this data explosion?
In this on-demand webinar, you’ll hear Tim Parker, Vice President of Network Services at Flexential, and Craig Matsumoto, Senior Analyst of Data Center Services at 451 Research, discuss the evolution of data – and how enterprises are processing and creating it. Download now to hear Parker and Matsumoto examine how edge computing solutions are meeting the latency demands of an increasingly digitized world.

The hybrid cloud has arrived for the enterprise, but it comes with a complication: the speed of light. Between the cloud and the end user (including IoT devices that count as ‘users’), there is an emerging need for an intermediate environment that can satisfy real-time compute requirements without incurring the latency of reaching all the way to the cloud. ‘Edge compute’ is the phrase used to describe what covers this middle ground, but the optimal location for edge compute resources remains open to question.

The Constellation AstroChartTM supplies a visual guide of the trends impacting Data to Decisions. After
assessing boardroom priorities, organizations should employ AstroCharts to inform
portfolio management.
This report contains two AstroCharts: one identifying Business Trends and one identifying Technology
Trends. The AstroCharts’ vertical axes plot “Organizational Adoption” rates from Mainstream to
Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an
organization’s business model, from Incremental to Transformational to Exponential. The Constellation
AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the
dynamics impacting the entire market.
This report applies Constellation’s AstroChart to the Constellation’s business theme of Data to
Decisions. This research domain examines the enablement of data-driven decisions across organizations.
Holistic, data-informed decisions require a multidisciplin

Today, more than 100-plus million users rely on Windows 7. For these users, a new technology age is coming on January 14, 2020 when Microsoft officially ends extended support for Windows 7.
With a change required, this is the ideal time for organizations to determine if they want to migrate to Windows 10 or look to modernize their workplace by following the growing trend of enterprises that have introduced employee choice programs and Mac to their environment.
This e-book examines the options organizations have and how they can make the most beneficial and economical decision.

Hobson & Company (H&C), a leading research firm focused on total cost of ownership (TCO) and return on investment (ROI) studies, conducted independent research and found that a proven Apple device management solution delivers a quick and compelling ROI to both large and small enterprises.
• Simplifying IT management
o 90% reduction in time spent managing apps
o 80% reduction in time spent provisioning
• Improving end-user experience
o 60% reduction in end-user productivity loss
o 15% reduction in volume of help desk tickets
• Mitigating risk
o 90% reduction in time spent creating inventory reports
o 65% reduction in time spent managing policy and setting changes

It’s become abundantly clear that the cloud is no longer the future— but the new normal. Enterprises rely on cloud computing for web-based meetings, email, file sharing, and more every day to reduce costs and administrative burdens while enhancing productivity.
With the wealth of benefits to be gained by moving to the cloud—including speed of deployment, cost-efficiencies, and easy scaling—it’s no wonder the shift toward all things virtual has been so pervasive and swift. What’s more, as the cloud has matured, the potential drawbacks that once made enterprises hesitant to make the move are disappearing. Security is now robust, application integration happens with ease, and reliability is a given, not a question mark.
So now that the cloud has become not just viable, but essential, to stay competitive in a rapidly changing world, it’s time to explore how the cloud can significantly improve your contact center operations and guest experiences. This paper will provide one compelling r

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